Model Explainer
Feature Importances
Classification Stats
Individual Predictions
What if...
Feature Dependence
Feature Importances
Model performance metrics
metric
Score
accuracy
0.888
precision
0.0
recall
0.0
f1
0.0
roc_auc_score
0.92
pr_auc_score
0.498
log_loss
0.295
Confusion Matrix
How many false positives and false negatives?
Precision Plot
Does fraction positive increase with predicted probability?
Classification Plot
Distribution of labels above and below cutoff
ROC AUC Plot
Trade-off between False positives and false negatives
PR AUC Plot
Trade-off between Precision and Recall
Lift Curve
Performance how much better than random?
Cumulative Precision
Expected distribution for highest scores
Individual Predictions
Select Random Index
Selected index:
None
Prediction
no index selected
Contributions Plot
How has each feature contributed to the prediction?
no index selected
Partial Dependence Plot
Contributions Table
How has each feature contributed to the prediction?
no index selected
What if...
Select Random Index
Selected index:
None
Prediction
input data incorrect
Feature Input
Adjust the feature values to change the prediction
Selected:
None
small_grid_flood_count
flood_count
altitude_max
watershed
soilgrid_bdod
tp_15
flood_count_std
slope
water_density_max
watershed_max
tp_45
dist_sea_max
soilgrid_cfvo
floodable_std
t2m_3
altitude_min
depth_to_bedrock
Contributions Plot
How has each feature contributed to the prediction?
input data incorrect
Partial Dependence Plot
input data incorrect
Contributions Table
How has each feature contributed to the prediction?
input data incorrect
Feature Dependence
Shap Summary
Ordering features by shap value
Shap Dependence
Relationship between feature value and SHAP value